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Table 2 Results of MPR for the proposed algorithms based on 5 trials of tenfold cross-validation in the benchmark datasets

From: A new chemoinformatics approach with improved strategies for effective predictions of potential drugs

Similarity method

DATASET-H

DATASET-K

DATASET-Y

Strategy 1

 PPMI

0.054 ± 0.010

0.049 ± 0.010

0.020 ± 0.006

 COSINE

0.081 ± 0.019

0.068 ± 0.019

0.037 ± 0.013

 TANIMOTO

0.092 ± 0.026

0.070 ± 0.017

0.035 ± 0.012

Strategy 2

 PPMI

0.061 ± 0.012

0.055 ± 0.014

0.023 ± 0.008

 COSINE

0.066 ± 0.013

0.049 ± 0.010

0.029 ± 0.007

 TANIMOTO

0.066 ± 0.013

0.052 ± 0.011

0.028 ± 0.007

Strategy 3

 PPMI

0.109 ± 0.020

0.077 ± 0.014

0.023 ± 0.007

 COSINE

0.086 ± 0.013

0.051 ± 0.009

0.027 ± 0.006

 TANIMOTO

0.083 ± 0.014

0.055 ± 0.010

0.027 ± 0.004

DT-hybrid

 –

0.083 ± 0.023

0.063 ± 0.016

0.037 ± 0.013